Abstract: This brief investigates recursive instrumental variable (IV) identification of time-delayed continuous-time (CT) models from the sampled input-output data. The refined IV method is extended ...

Abstract: Current data-driven predictive control (DDPC) methods heavily rely on data collected in open-loop operation with elaborate design of inputs. However, due to safety or economic concerns, ...

1 Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK 2 Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK 3 Division ...

This chapter synthesizes and critically reviews the modern instrumental variables (IV) literature that allows for unobserved heterogeneity in treatment effects (UHTE). We start by discussing why UHTE ...

As in real-world clinical settings, patients offered colonoscopy or sigmoidoscopy screening in pragmatic cancer screening trials may decide to skip it. The fact that many patients randomly assigned to ...

Mendelian randomization (MR) can estimate the causal effect for a risk factor on a complex disease using genetic variants as instrument variables (IVs). A variety of generalized MR methods have been ...

We are going through a new shift in machine learning (ML), where ML models are increasingly being used to automate decision-making in a multitude of domains: what personalized treatment should be ...